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In less than a year, MLflow has reached almost 500K monthly downloads, and gathered over 80 code contributors and 40 contributing organizations, confirming the need for an open source approach to help standardize the machine learning lifecycle across tools, teams, and processes. We are thrilled to host some of our key contributors and customers next...

When one looks at the amazing roster of talks for next week’s Spark + AI Summit, what you don’t see is a lot of discussion on how to leverage object storage. On some level you would expect to - ultimately if you want to run your Spark job on peta-scale data sets and have it...

Data and AI are ushering in a new era of precision medicine. The scale of the cloud, combined with advancements in machine learning, are enabling healthcare and life sciences organizations to use their mountains of data—such as electronic health records, genomics, real-world evidence, claims, and more—to drive innovation across the entire ecosystem, from accelerating drug...

The financial services industry is transforming rapidly. Customers today demand more personalized experiences, better returns on their investments and improved protection against fraud. As a result,  every bank, insurance company and institutional investor is turning towards big data and AI to meet these demands and outmaneuver the competition. Spark + AI Summit is the premier...

Over the past several years, Spark + AI Summit has become the premier event for data scientists, engineers, and Apache SparkTM enthusiasts to come together and share how they’re driving innovation with the latest data and machine learning technologies. Last year’s Summit set a new record, with more than 4000 attendees and over 100 talks...

Selected highlights from the new track Big data practitioners grapple with data quality issues and data pipeline complexities—it's the bane of their existence. Whether you are chartered with advanced analytics, developing new machine learning models, providing operational reporting or managing the data infrastructure, the concern with data quality is a common theme. Data engineers, in...

In January 2013 when Stephen O’Grady, an analyst at RedMonk, published “The New Kingmakers: How Developers Conquered the World,” the book’s central argument (then and still now) universally resonated with an emerging open-source community. He convincingly charts developers’ movement “out of the shadows and into the light as new influencers on society’s [technical landscape].” Using...

The most important factor to successful machine learning is having the right data at scale, but organizations struggle with how to get the right datasets combined into the right format for their projects. At Databricks, we’ve seen customers achieve success by bringing data and ML together, and we’ve partnered with Snowflake to share their stories...

To a good degree, this back-of-the-envelope flowchart, by Karen Hao of MIT Technology Review, charts to elucidate what constitutes the use of AI in the grand scheme of things. While many conferences may not have a flowchart to select sessions to identify what’s AI, the sessions, though, do speak to technical aspects that comprise AI...

We recently hosted the webinar — CIO Survey: Enterprise Challenges to AI and How to Overcome Them — featuring Jen Garofalo, Research Director at IDG, the parent company to CIO.com, and Pat McDonough, VP of Customer Success at Databricks. This webinar covered key findings from a recent CIO.com survey of 200 executives on the topic...